HOW VOICE AI IS ENABLING REAL-TIME, EVIDENCE-BASED CLINICAL DECISION-MAKING

Among the most promising technologies reshaping clinical practices across the world is Voice AI. These artificial intelligence systems understand and process human speech to assist clinicians in real time. At Augnito, we are pioneering Voice AI solutions that accelerate clinical documentation and decision-making, ultimately empowering healthcare providers to deliver higher quality, evidence-based care at unprecedented speeds and accuracy levels.

- RUSTOM LAWYER

Having been involved in the sector for nearly two decades now (well before the creation of Augnito), one of the key challenges that we observed in modern healthcare was the increasing burden of data management and documentation that draws clinicians away from direct patient care. Manual transcription and electronic medical record (EMR) inputs consume valuable time and introduce potential errors. However, there is no way around these administrative compliances and it's truly unfortunate that the technology interfaces of the past - though created with the brilliant intent of streamlining and ensuring the seamless continuity of patient care, and access to patient histories with the vision for a centralised care infrastructure were not built to ease the burden of already overworked clinical workforces. In fact, they added to them.

Voice AI on the other hand addresses this issue directly by enabling doctors to document patient interactions or charting notes simply by speaking. Our first solution, Augnito Spectra, for example, is designed to deliver 99% transcription accuracy without requiring any voice training or setup processes, allowing for immediate adoption in busy clinical environments across regions – among several other clinician-centric features.

What sets our technology apart is not just the transcription speed, but also the ability to transform natural, unstructured conversations into structured medical records like we now do with Augnito Omni. Our softwares support over 55 medical specialties and subspecialties, making them versatile for diverse clinical workflows and settings.

Additionally, through conversational templates, macros, and customisable vocabularies, clinicians can effortlessly generate comprehensive, standardised reports that enhance record quality and continuity of care.